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Sensors
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Recent Advances in Internet of Things and Sensor Networks
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Recent Advances in Internet of Things and Sensor Networks

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Internet of Things".

Deadline for manuscript submissions: closed (1 December 2019) | Viewed by 6965

Special Issue Editors

Prof. Dr. Dongkyun Kim

E-Mail Website
Guest Editor
School of Computer Science and Engineering, Kyungpook National University, Daegu 41566, Republic of Korea
Interests: connected cars; vehicular ad hoc networks; the Internet of Things (machine-to-machine/device-to-device); Wi-Fi networks (including Wi-Fi Direct); wireless mesh networks; wireless sensor networks; future Internet
Special Issues, Collections and Topics in MDPI journals
Dr. Jaime Lloret

E-Mail Website
Guest Editor
Integrated Management Coastal Research Institute, Universitat Politecnica de Valencia, 46022 Valencia, Spain
Interests: network protocols; network algorithms; wireless sensor networks; ad hoc networks; multimedia streaming
Special Issues, Collections and Topics in MDPI journals
Dr. Syed Hassan Ahmed

E-Mail Website
Guest Editor
Computer Science Department, California State University, Fullerton, CA 92831, USA
Interests: wireless communications; connected vehicles; named data; networks; information centric networks and ad hoc networks
Special Issues, Collections and Topics in MDPI journals
Dr. Muhammad Azfar Yaqub

E-Mail
Guest Editor
Faculty of Engineering, Free University of Bolzano, 39100 Bolzano, Italy
Interests: AI; machine learning; IoT; vehicular networks; future internet architecture
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

There has been some phenomenal research in the past few decades in sensor networks which aims to provide several applications that enable technology-assisted lifestyle, such as medical sensing applications, environmental monitoring applications, military sensing applications, underwater sensing applications, and hazard sensing applications. Similarly, the Internet of Things (IoT) paradigm has continuously expanded to cover the applications of many daily life settings. Infrastructures such as smart cities, smart homes, smart buildings, smart health, and connected vehicles that connect our world are based on the single concept of IoT. The goal of IoT is to intelligently monitor, connect, and control networked embedded devices capable of sensing, computing, and communication of the sensed data over the Internet. These devices form a sophisticated interconnected network system that provides efficient transmission of useful measurement information via a distributed sensor network.

The purpose of this annual Special Issue is to gather papers on sensor networks and IoT in a dedicated form to provide a platform for the research community to contribute and direct the development of these technologies. We seek the latest findings from research and ongoing projects relevant to IoT and sensor networks. Additionally, review articles which provide readers with current research trends in both sensor networks and IoT are also welcome. The potential topics include but are not limited to:

  • Cross-layer Protocols for sensor networks;
  • Routing protocols for sensor networks;
  • Transport layer protocols for sensor networks;
  • MAC layer protocols for sensor networks;
  • New emerging architectures for IoT and sensor networks;
  • New applications and testbed for IoT and sensor networks;
  • Energy-efficient protocols for WSN and IoT;
  • Energy harvesting/scavenging for WSN and IoT;
  • Security and privacy architectures for WSN and IoT;
  • Interrelationship between WSN and IoT: similarities and differences;
  • WSN aspects that are critical for future IoT;
  • WSN issues and technologies for IoT applications;
  • IoT management and monitoring;
  • IoT platforms for education and applications;
  • Cohesion of WSN and IoT to build a smart home, smart cities, smart buildings;
  • Edge computing, fog computing and cloud computing in IoT;
  • Artificial Intelligence, machine learning in IoT;
  • Data analytics and scalable/parallel/distributed computing algorithms for IoT.

Prof. Dr. Dongkyun Kim
Dr. Jaime Lloret Mauri
Dr. Syed Hassan Ahmed
Dr. Muhammad Azfar Yaqub
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Published Papers (2 papers)

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Research

17 pages, 888 KiB  
Article
Energy Efficiency of a Decode-and-Forward Multiple-Relay Network with Rate Adaptive LDPC Codes
by Bushra Bashir Chaoudhry, Syed Ali Hassan, Joachim Speidel and Haejoon Jung
Sensors 2019, 19(21), 4793; https://doi.org/10.3390/s19214793 - 04 Nov 2019
Cited by 4 | Viewed by 2890
Abstract
This paper presents cooperative transmission (CT), where multiple relays are used to achieve array and diversity gains, as an enabling technology for Internet of Things (IoT) networks with hardware-limited devices. We investigate a channel coding aided decode-and-forward (DF) relaying network, considering a two-hop [...] Read more.
This paper presents cooperative transmission (CT), where multiple relays are used to achieve array and diversity gains, as an enabling technology for Internet of Things (IoT) networks with hardware-limited devices. We investigate a channel coding aided decode-and-forward (DF) relaying network, considering a two-hop multiple-relay network, where the data transmission between the source and the destination is realized with the help of DF relays. Low density parity check (LDPC) codes are adopted as forward error correction (FEC) codes to encode and decode the data both at the source and relays. We consider both fixed and variable code rates depending upon the quality-of-service (QoS) provisioning such as spectral efficiency and maximum energy efficiency. Furthermore, an optimal power allocation scheme is studied for the cooperative system under the energy efficiency constraint. We present the simulation results of our proposed scheme, compared with conventional methods, which show that if decoupled code rates are used on both hops then a trade-off has to be maintained between system complexity, transmission delay, and bit error rate (BER). Full article
(This article belongs to the Special Issue Recent Advances in Internet of Things and Sensor Networks)
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20 pages, 1727 KiB  
Article
Game Theoretic Solution for Power Management in IoT-Based Wireless Sensor Networks
by Muhammad Sohail, Shafiullah Khan, Rashid Ahmad, Dhananjay Singh and Jaime Lloret
Sensors 2019, 19(18), 3835; https://doi.org/10.3390/s19183835 - 05 Sep 2019
Cited by 22 | Viewed by 3285
Abstract
Internet of things (IoT) is a very important research area, having many applications such as smart cities, intelligent transportation system, tracing, and smart homes. The underlying technology for IoT are wireless sensor networks (WSN). The selection of cluster head (CH) is significant as [...] Read more.
Internet of things (IoT) is a very important research area, having many applications such as smart cities, intelligent transportation system, tracing, and smart homes. The underlying technology for IoT are wireless sensor networks (WSN). The selection of cluster head (CH) is significant as a part of the WSN’s optimization in the context of energy consumption. In WSNs, the nodes operate on a very limited energy source, therefore, the routing protocols designed must meet the optimal utilization of energy consumption in such networks. Evolutionary games can be designed to meet this aspect by providing an adequately efficient CH selection mechanism. In such types of mechanisms, the network nodes are considered intelligent and independent to select their own strategies. However, the existing mechanisms do not consider a combination of many possible parameters associated with the smart nodes in WSNs, such as remaining energy, selfishness, hop-level, density, and degree of connectivity. In our work, we designed an evolutionary game-based approach for CH selection, combined with some vital parameters associated with sensor nodes and the entire networks. The nodes are assumed to be smart, therefore, the aspect of being selfish is also addressed in this work. The simulation results indicate that our work performs much better than typical evolutionary game-based approaches. Full article
(This article belongs to the Special Issue Recent Advances in Internet of Things and Sensor Networks)
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